Abstract
Energy-supply issues constitute one of the most important issues that we face nowadays. Before a viable alternative energy source of supply is discovered and implemented, saving energy is essential. To improve the energy economizing of actuators, this work proposes a method based on fuzzy logic for scheduling and controlling electrical operators in a cyber-physical system. With the feedbacks of sensor data including output of process and the environmental variations, the intelligent controller can gather the current situation and predicted trend. After analyzing the data with the fuzzy rule, the actuators are controlled with the consideration of the desired set point and energy economizing. The results of a simulation reveal that the fuzzy control method for actuators in a cyber-physical system can be used to minimize the power consumption of the system while accomplishing the desired set point.
| Original language | English |
|---|---|
| Pages (from-to) | 1-15 |
| Number of pages | 15 |
| Journal | Applied Artificial Intelligence |
| Volume | 30 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2016 Jan 2 |
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All Science Journal Classification (ASJC) codes
- Artificial Intelligence
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Fuzzy Control to Improve Energy-Economizing in Cyber-Physical Systems. / Cheng, Sheng-Tzong; Chou, Ju Hsien.
In: Applied Artificial Intelligence, Vol. 30, No. 1, 02.01.2016, p. 1-15.Research output: Contribution to journal › Article
TY - JOUR
T1 - Fuzzy Control to Improve Energy-Economizing in Cyber-Physical Systems
AU - Cheng, Sheng-Tzong
AU - Chou, Ju Hsien
PY - 2016/1/2
Y1 - 2016/1/2
N2 - Energy-supply issues constitute one of the most important issues that we face nowadays. Before a viable alternative energy source of supply is discovered and implemented, saving energy is essential. To improve the energy economizing of actuators, this work proposes a method based on fuzzy logic for scheduling and controlling electrical operators in a cyber-physical system. With the feedbacks of sensor data including output of process and the environmental variations, the intelligent controller can gather the current situation and predicted trend. After analyzing the data with the fuzzy rule, the actuators are controlled with the consideration of the desired set point and energy economizing. The results of a simulation reveal that the fuzzy control method for actuators in a cyber-physical system can be used to minimize the power consumption of the system while accomplishing the desired set point.
AB - Energy-supply issues constitute one of the most important issues that we face nowadays. Before a viable alternative energy source of supply is discovered and implemented, saving energy is essential. To improve the energy economizing of actuators, this work proposes a method based on fuzzy logic for scheduling and controlling electrical operators in a cyber-physical system. With the feedbacks of sensor data including output of process and the environmental variations, the intelligent controller can gather the current situation and predicted trend. After analyzing the data with the fuzzy rule, the actuators are controlled with the consideration of the desired set point and energy economizing. The results of a simulation reveal that the fuzzy control method for actuators in a cyber-physical system can be used to minimize the power consumption of the system while accomplishing the desired set point.
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UR - http://www.scopus.com/inward/citedby.url?scp=84959103792&partnerID=8YFLogxK
U2 - 10.1080/08839514.2015.1121065
DO - 10.1080/08839514.2015.1121065
M3 - Article
AN - SCOPUS:84959103792
VL - 30
SP - 1
EP - 15
JO - Applied Artificial Intelligence
JF - Applied Artificial Intelligence
SN - 0883-9514
IS - 1
ER -